IT- Cyber Security Architect/ Engineer III

Key Responsibilities

• AI-Enhanced Pipeline Security: Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule-based tools miss.
• Securing AI Workflows: Design security frameworks for the end-to-end AI lifecycle, including securing data ingestion, protecting model weights, and implementing "Guardrail" architectures for Large Language Models (LLMs).
• Intelligent Automation: Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams.
• Policy as Code (Client): Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments.
• Threat Modeling & Red Teaming: Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning.
• Developer Empowerment: Create self-service security tools and "Golden Paths" that allow developers to deploy securely without friction, fostering a proactive security culture.

Technical Qualifications

• Category - DevOps & Infrastructure: Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP).
• Category - Security Tooling: Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins.
• Category - AI/ML Security: Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs.
• Category - Programming: Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts.
• Category - Observability: Deep knowledge of eBPF, Prometheus, and AI-powered logging/monitoring tools (e.g., Dynatrace or Datadog).

Preferred Experience

• Experience: 10+ years in IT, with at least 5 years dedicated to DevSecOps leadership in high-scale environments.
• AI Expertise: Proven track record of implementing AI/ML to solve operational or security challenges.
• Education: A degree from an accredited College/University in the applicable field of services is required. Four additional years of related experience if the individual's degree is not in the applicable field.

Soft Skills

• Strong ability to bridge the gap between "Speed of DevOps" and "Rigors of Security" while communicating clearly with executive leadership.

Core Objectives

• Shift Left: Achieve 90% automated security coverage across all production-bound code.
• Mean Time to Remediate (MTTR): Utilize AI to reduce vulnerability remediation time by 40% within the first year.
• Innovation: Stay at the forefront of the "AI for Security" and "Security for AI" movements.

Additional Provisions

• Pass a client mandated clearance process to include drug screening, criminal history check and credit check.
• Cannot have more than 6 months travel outside the United States within the last five years.
• Military Service excluded. (Exception does not include military family members.)
• All candidates must be a US Citizen or permanent status Green Card holder.
• All overtime must be pre-approved in writing by the client manager or his/her designated representative.
• The enforced dress code is business casual, i.e., collared shirt with slacks for men, no skirts above the knee for women.